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Reza Malekian

Researcher at Malmö University

Publications -  206
Citations -  4667

Reza Malekian is an academic researcher from Malmö University. The author has contributed to research in topics: Wireless sensor network & The Internet. The author has an hindex of 27, co-authored 197 publications receiving 3044 citations. Previous affiliations of Reza Malekian include Islamic Azad University & Universiti Teknologi Malaysia.

Papers
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Journal ArticleDOI

An efficient authentication and access control scheme for perception layer of Internet of Things

Ye Ning, +4 more
- 01 Jul 2014 - 
TL;DR: In this paper, the research was support by National Natural ScienceFoundation of P. R. China ( Grant No.61170065,61373017,61171053,61103195 and 61203217), Peak of Six Major Talent in Jiangsu Province (Grant No.2010DZXX026), the Natural Science Foundation of Jiangsu province(Grant NoBK2012436 and BK20130882), Scientific Research & Industry Promotion Project for Higher Education InstitutionsJHB2012-7),Scientific & Technological Support Project of Jiang
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Design of Smart Sensors for Real-Time Water Quality Monitoring

Niel Andre Cloete, +2 more
- 19 Jul 2016 - 
TL;DR: This paper describes work that has been done on design and development of a water quality monitoring system, with the objective of notifying the user of the real-time water quality parameters.
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Software defined wireless sensor networks application opportunities for efficient network management: A survey

Kgotlaetsile Mathews Modieginyane, +3 more
- 06 Mar 2017 - 
TL;DR: A strategy for Software Defined Wireless Sensor Network (SDWSN) is proposed as an effort for application improvement in monitored environments and application challenges faced by WSNs for monitored environments are highlighted.
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Molecular Communication and Nanonetwork for Targeted Drug Delivery: A Survey

Uche A. K. Chude-Okonkwo, +3 more
- 19 May 2017 - 
TL;DR: A visionary survey of TDD within the domain of MC and MN is presented and an explanation on how MC-based TDD concepts differ from traditional TDD being explored under the field of medical science is provided.
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Physical Activity Recognition From Smartphone Accelerometer Data for User Context Awareness Sensing

Johan Wannenburg, +1 more
- 01 Dec 2017 - 
TL;DR: Physical activity recognition of everyday activities such as sitting, standing, laying, walking, and jogging was performed, through the use of smartphone accelerometer data, and very accurate predictions could be made for offline activity recognition.